NSF CAREER Awards Recognize University of Tennessee Researchers
Two faculty members within the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, have secured National Science Foundation CAREER awards. These grants provide support to early-career scientists who demonstrate promise as academic leaders. Ahmedullah Aziz and Sai Swaminathan represent the latest recipients from the Tickle College of Engineering. Their specific research tracks focus on energy-efficient computing hardware and community-accessible artificial intelligence tools.
Deb Crawford, who serves as the vice chancellor for research, innovation and economic development at the university, noted the significance of these grants. The projects aim to bridge the gap between abstract laboratory theory and tangible regional applications. By involving students in these research pipelines, the university expects to foster a pipeline of technical talent prepared for future challenges in hardware and machine learning.
Superconducting Logic for Future Computing Architectures
Ahmedullah Aziz received $550,000 to advance superconducting electronics. Traditional computers rely on semiconductor transistors that generate heat during operation. Superconducting circuits function at ultra-cold temperatures and offer higher processing speeds with lower power usage. Despite these efficiency gains, the field struggles with functionality and scalability. Aziz intends to redesign these systems to include built-in memory and better control mechanisms.
His laboratory will build predictive device models and fabricate prototypes to validate these new architectures. These developments are necessary for the next generation of quantum computers. Aziz also plans to integrate these research topics into high school classrooms. By creating hands-on activities that do not require cryogenic equipment, he intends to broaden student engagement in hardware engineering across the state.
Democratizing Artificial Intelligence for Appalachian Communities
Sai Swaminathan received $638,000 to create palm-sized, low-cost AI devices designed for localized problem-solving. Current smart devices often fail to address specific community needs because they run on rigid, pre-trained models. Users frequently cannot fix or teach these devices new tasks. Swaminathan’s project aims to change this by creating systems that function without an internet connection.
These portable units will feature sensors and simple interfaces that allow non-experts to train models for local priorities. His team is currently coordinating with groups like Socially Equal Energy Efficient Development and Clean Water Expected in East Tennessee. Potential applications include monitoring soil health in urban gardens or tracking pollutants in regional waterways. The primary technical obstacle involves compressing large AI models onto hardware with minimal memory. Swaminathan expects his students to manage these hardware constraints while leading co-design workshops with community partners to ensure the devices remain intuitive for daily operation.